AI Built for
High-Compliance
Explainable Decisions
Every AI match comes with a clear rationale. We don't hide behind "black boxes"—we show the evidence.
Human-in-the-Loop
AI proposes, Security decides. Our workflows ensure every critical decision is verified by a human actor.
Fully Auditable
Every model interaction and screening result is logged with absolute precision for CMMC and ITAR audits.
Solving the
False Positive Problem
We move beyond basic string matching. Our engine analyzes voter profiles, entity lists, and 50% ownership records to provide a clear risk score with documented logic.
Advanced Fuzzy Matching
Phonetic and character-level similarity across international lists.
Identity Resolution
Connecting disparate records into a unified visitor identity.
Natural Language Rationale
Models explain WHY a match was proposed in simple terms.
Analysis Engine Active
Proposed Match Evidence
AI Reasoning Summary
"Proposed match is based on high phonetic similarity for name 'ALEXANDER KERIMOV' on the BIS Entity List. Risk elevated due to technical data exposure in Zone 4."
Safety Built-In
We adhere to the highest standards of NIST AI Risk Management Framework.
SOC2 Trusted Infrastructure
Your data and model weights are protected in environments verified for security, availability, and confidentiality.
Non-Discrimination Bias Audits
Regular auditing of screening algorithms to ensure fairness and adherence to civil rights standards.
The Future of
Industrial Trust
Join the forward-thinking facilities using SecurePoint USA to protect their technical data and automate their lobby operations.